scholarly journals A Beginner’s Guide to Developing Review-Based Conceptual Frameworks in the Built Environment

Architecture ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 5-24 ◽  
Author(s):  
Fahim Ullah
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Built Environment ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Smart Cities ◽  
Conceptual Frameworks ◽  
High Quality ◽  
Disruptive Technologies ◽  
Literature Reviews

With the boom of industry 4.0 technologies and their adoption in the built environment (BE), conceptual frameworks (CFs) are increasingly developed to facilitate the adoption. It is becoming increasingly important to develop a standard or guide for new BE research entrants and aspirants who want to conduct a systematic literature review and develop such CFs. However, they struggle to find a standard and reproducible procedure to conduct systematic literature reviews and develop CFs successfully. Accordingly, the current study based on requests and inspirations from nascent BE researchers presents guidelines about conducting such studies. A simplistic yet reproducible methodology is presented that can be followed by BE research aspirants to produce high-quality and well-organized review articles and develop a CF. Using an example of big data-based disaster management in smart cities, the current study provides a practical example of conducting a systematic literature review and developing a CF. It is expected that this research will serve as a baseline for conducting systematic studies in the BE field that other fields of science can adopt. Further, it is expected that this study will motivate the nascent BE researchers to conduct systematic reviews and develop associated CFs with confidence. This will pave the way for adopting disruptive technologies and innovative tools in the BE in line with industry 4.0 requirements.

scholarly journals Quality Assurance Technologies of Big Data Applications: A Systematic Literature Review

2020 ◽  
Vol 10 (22) ◽  
pp. 8052
Author(s):  
Shunhui Ji ◽  
Qingqiu Li ◽  
Wennan Cao ◽  
Pengcheng Zhang ◽  
Henry Muccini
Keyword(s):  
Quality Assurance ◽  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Smart Cities ◽  
Scientific Databases ◽  
Big Data Applications ◽  
Low Performance ◽  
Prediction Systems

Big data applications are currently used in many application domains, ranging from statistical applications to prediction systems and smart cities. However, the quality of these applications is far from perfect, such as functional error, failure and low performance. Consequently, assuring the overall quality for big data applications plays an increasingly important role. This paper aims at summarizing and assessing existing quality assurance (QA) technologies addressing quality issues in big data applications. We have conducted a systematic literature review (SLR) by searching major scientific databases, resulting in 83 primary and relevant studies on QA technologies for big data applications. The SLR results reveal the following main findings: (1) the quality attributes that are focused for the quality of big data applications, including correctness, performance, availability, scalability and reliability, and the factors influencing them; (2) the existing implementation-specific QA technologies, including specification, architectural choice and fault tolerance, and the process-specific QA technologies, including analysis, verification, testing, monitoring and fault and failure prediction; (3) existing strengths and limitations of each kind of QA technology; (4) the existing empirical evidence of each QA technology. This study provides a solid foundation for research on QA technologies of big data applications and can help developers of big data applications apply suitable QA technologies.

Addressing big data challenges in smart cities: a systematic literature review

Info ◽  
2016 ◽  
Vol 18 (4) ◽  
pp. 73-90 ◽  
Author(s):  
Sumedha Chauhan ◽  
Neetima Agarwal ◽  
Arpan Kumar Kar
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Smart Cities ◽  
Academic Research ◽  
Effective Management ◽  
Research Papers ◽  
Holistic View ◽  
Content Type ◽  
Practical Implications

Purpose Big Data has become crucial for fulfilling the vision of smart cities; however, there are several challenges associated with its use. This study aims to provide a holistic view of challenges of using Big Data in smart cities and the solutions to deal with them by systematically selecting, reviewing and synthesizing the literature in this area. Design/methodology/approach A systematic literature review was conducted by following a rigorous search protocol that identified a total of 310 peer-reviewed academic research papers. These papers were subsequently filtered and finally 38 relevant papers were selected. Findings A number of major challenges (human dynamics, privacy, security, volume, velocity, variety, veracity and value) associated with Big Data in a smart city and the respective solutions to address them were identified. This study primarily contributes in providing the process of effectively managing Big Data in smart cities. Practical implications The study provides valuable information to the Big Data practitioners by illustrating the process of effective management of Big Data in smart cities. This study further provides the directions to the future researchers. Originality/value The study is original and is based on the existing literature and its interpretation.

scholarly journals From Supply Chain 4.0 to Supply Chain 5.0: Findings from a Systematic Literature Review and Research Directions

Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 49
Author(s):  
Guilherme F. Frederico
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Agenda ◽  
Industry 4.0 ◽  
Current Knowledge ◽  
Research Directions ◽  
The Subject ◽  
Strategy Innovation ◽  
Transition Issues

The main purpose of this paper is to present what the Industry 5.0 phenomenon means in the supply chain context. A systematic literature review method was used to get evidence from the current knowledge linked to this theme. The results have evidenced a strong gap related to Industry 5.0 approaches for the supply chain field. Forty-one (41) publications, including conference and journal papers, have been found in the literature. Nineteen (19) words, which were grouped in four (4) clusters, have been identified in the data analysis. This was the basis to form the four (4) constructs of Industry 5.0: Industry Strategy, Innovation and Technologies, Society and Sustainability, and Transition Issues. Then, an alignment with the supply chain context was proposed, being the basis for the incipient Supply Chain 5.0 framework and its research agenda. Industry 5.0 is still in an embryonic and ideal stage. The literature is scarce and many other concepts and discoveries are going to emerge. Although this literature review is based on few available sources, it provides insightful and novel concepts related to Industry 5.0 in the supply chain context. Moreover, it presents a clear set of constructs and a structured research agenda to encourage researchers in deploying further conceptual and empirical works linked to the subject herein explored. Organizations’ leadership, policymakers, and other practitioners involved in supply chains, and mainly those currently working with Industry 4.0 initiatives, can benefit from this research by having clear guidance regarding the dimensions needed to structurally design and implement an Industry 5.0 strategy. This article adds valuable insights to researchers and practitioners, by approaching the newest and revolutionary concept of the Industry 5.0 phenomenon in the supply chain context, which is still an unexplored theme.

scholarly journals Lean production and Industry 4.0: Strategy/management or technique/implementation? A systematic literature review

2021 ◽  
Vol 180 ◽  
pp. 404-413
Author(s):  
Chiara Cagnetti ◽  
Tommaso Gallo ◽  
Cecilia Silvestri ◽  
Alessandro Ruggieri
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Lean Production ◽  
Strategy Management
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